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Bad data harms almost all organizations, adding cost to operations, angering customers, increasing risk, and making it more difficult to craft and execute strategy. Good business cases help build support for the hard work needed to improve.
Two important components of a business case are Business Benefits and a Cost-of-Poor-Data-Quality (COPDQ) analysis. To be clear, assigning dollar values to some benefits and costs is extremely difficult. As Dr. Deming observed, "the true costs of poor quality are unknown and unknowable." Dr. Deming was referring specifically to manufacturing but, so far anyway, his insights have proven true for quantifying the cost of poor data as well.
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Critically a good business case engages both "the head and the heart," narrowing the focus to the benefits and costs that have the greatest logical and emotional appeal to the organization. For example, a company pursuing a strategy of customer intimacy may be far more concerned about costs associated with customer anger than increased operational costs. Finally, the business case must be sold in powerful ways.
This online training course offers a comprehensive analysis of benefits of high-quality data and costs of poor data quality, capped with the detailed process for developing and delivering a powerful and effective business case.
You will learn:
- How to think through both the benefits of high-quality data and the costs of poor quality
- How to distinguish costs that are estimable from those that cannot
- How to perform cost-of-poor-data-quality (COPDQ) analysis
- How to create a business case for data quality that engages both "the head" and "the heart"
- How to deliver and sell business case for data quality
This course is geared towards:
- Those tasked with getting a data quality program started, or advancing an existing program
- Those who must build support for their data quality efforts
- Those seeking to advance data quality in the face of indifference, tight budgets, opposition, etc
- Data stewards and data quality professionals who want to better understand costs and benefits of data quality
DQ-08 Crafting the Business Case for Data Quality
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DQ-08-00 About the Course (9 min)
DQ-08-01 The Benefits of High-Quality Data (62 min)
- Advantages of High-Quality Data
- Data Quality in the [Not Too Distant] Future
- Putting Data to Work and Data Quality
- Special Properties of Data and Data Quality
DQ-08-02 The High Costs of Poor Data Quality (101 min)
- The Range of Impact due to Bad Data
- Data Quality Defined
- Operations’ Perspective
- Decision Maker’s Perspective
- Technologist’s Perspective
- Risk Perspective
- Societal (Taguchi) Perspective
- Customer Perspective
- Regulator’s Perspective
- Lost Opportunity Costs
- Marketplace Perspective
DQ-08-03 Building Business Case for Data Quality (43 min)
- Key Messages
- Developing the Business Case
- Influencing Factors
- Areas of Focus
- Assemble Current State
- Propose Improvement Targets
- Before and After Picture
- Assemble the Business Case
- Expect Objections
- A Final Note
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Click –here- to download a more detailed outline of this course.
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This exam tests knowledge and understanding of basic concepts, principles, and terminology of crafting a business case for data quality.
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You will be tested in these areas:
- The benefits of high-quality data and the costs of poor quality
- Distinguishing costs that are estimable from those that cannot
- Performing cost-of-poor-data-quality (COPDQ) analysis
- Creating a business case for data quality
- Delivering and selling a business case for data quality
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Additional Information
Number of Questions: 20
Time Limit: 40 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam. Click here to learn more about CIMP exams.
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Course Review 
Course Review from 2/12/2022